San Jose, US-United States
Posted 6 days ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. About the Team Our team focuses on high-performance infrastructure, real-time APIs, and AI-powered recommendation systems to provide timely insights and automated diagnostics for our users. This role is an opportunity to work on cutting-edge engineering challenges, optimize cross-channel interoperability, and build the next-generation engagement platform. Responsibilities – Design and implement scalable APIs and infrastructure that support cross-channel customer engagement. – Build modular, reusable systems that integrate AI-driven personalization and automation across different touchpoints. – Develop AI-powered recommendation and diagnostic systems to provide real-time insights to customers. – Optimize real-time data pipelines and ensure the performance, reliability, and scalability of customer engagement solutions. – Collaborate with Product, UX, Data Science, and ML teams to design and implement seamless engagement experiences. – Ensure system security, compliance, and best engineering practices in AI-driven solutions. Minimum Qualifications – Experience in backend or infrastructure engineering, focusing on scalable APIs, distributed systems, or real-time data pipelines. – Hands-on experience building reusable infrastructure for multi-channel applications. – Strong expertise in high-performance computing, microservices, and cloud-native architectures. – Familiarity with leveraging LLMs, NLP, and common machine learning techniques for customer engagement and personalization. – Strong problem-solving mindset, with experience driving technical execution in cross-functional teams. Preferred Qualifications – With past experience focused on scalable infrastructure and AI-driven systems. – Experience with high-scale, AI-driven personalization and diagnostic platforms. – Deep expertise in recommendation systems, reinforcement learning, or predictive analytics. – Cloud infrastructure expertise, including Kubernetes, microservices, and large-scale data processing. – A/B testing, optimization techniques, and data-driven decision-making experience. – Proven ability to contribute to open-source projects, publish research, or impact industry best practices. |
Job Features
| Job Category | Backend |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $180,000 - $280,000 |
| Recruiter | wanda.li@ocbridge.ai |
